是不是最开始的 IMPORT lcd了应该是led吧

 
还有模板对光线的对比度要求高不高？比如我晚上拍的模板对比度较低，早晨亮度较高会不会对识别产生影响？
如果我晚上的图和早晨的图都想对应一个数字怎么操作？

但在实际运行时候似乎还是能在图像监视器中看到检测出好多个，难道图像监视器中的结果并不准确，在运行中能够自动剔除么？

在做识别色块的云台时候，常常因为颜色干扰出现多重结果，比如窗帘或者天空等，表现为很多细碎的小块，能不能把其他的色块删除只发送最大色块的坐标呢？因为我把舵机的值用色块坐标作为函数变量了，多个值同时输出导致舵机并不跟踪，只是偶尔 抖动

import sensor, image, time
import json
from pyb import UART
# For color tracking to work really well you should ideally be in a very, very,
# very, controlled enviroment where the lighting is constant...
#yellow_threshold   = ( 46,  100,  -68,   72,   58,   92)
yellow_threshold   = ( 18, 69, 40, 86, 0, 72)
# You may need to tweak the above settings for tracking green things...
# Select an area in the Framebuffer to copy the color settings.

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # use RGB565.
sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
sensor.skip_frames(10) # Let new settings take affect.
sensor.set_auto_whitebal(False) # turn this off.
clock = time.clock() # Tracks FPS.

uart = UART(3, 9600)

while(True):
    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.

    blobs = img.find_blobs([yellow_threshold])
    if blobs:
        #print('sum : %d'% len(blobs))
        data=[]
        for b in blobs:
            # Draw a rect around the blob.
            img.draw_rectangle(b.rect()) # rect
            img.draw_cross(b.cx(), b.cy()) # cx, cy
            data.append((b.cx(),b.cy()))

        #{(1,22),(-3,33),(22222,0),(9999,12),(0,0)}
        data_out = json.dumps(set(data))
        uart.write(data_out +'\n')
        print('you send:',data_out)
    else:
        print("not found!")